Lead Data Architect - Databricks - Austin

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

Following our successful expansion into the U.S. and continued growth across Europe, we are seeking a Lead Data Architect to help drive our Data function from our Austin hub. This person will play a critical role in designing the core data architecture that every other data and AI system at Biorce builds on top of.

Who We're Looking For:

A seasoned data architect who has designed and scaled cloud data warehouse environments - ideally Databricks / Snowflake - inside a regulated (Life Sciences / healthcare preferred) or high-compliance industry. This person should be able to set the technical foundation for how Biorce's data platform grows for years to come.

Key Responsibilities:

• Design and own Biorce's Databricks-based data platform architecture end to end from ingestion, transformation through to deployment
• Define data modeling standards, warehousing strategy, and access/security architecture
• Partner with Data Engineering to translate architecture into scalable pipelines
• Own performance, cost efficiency, and reliability of the core data platform
• Set technical standards for how new data domains that get onboarded
• Experience using DBT for data transformation, metrics for KPI definitions entity resolution concepts and incorporating open source/custom AI/ML models into data pipelines is preferred
• Experience leveraging AI in data engineering is a plus for example building automapping of data into canonical or semantic models
• Advise leadership on build-vs-buy and platform tooling decisions

✅ Must-haves

• 7 years in data architecture/engineering, with deep hands-on Databricks/Snowflake experience
• Proven experience designing cloud data warehouse architecture at scale
• Strong grasp of data modeling, ETL/ELT pipeline design, and data security/access controls
• Comfortable operating in a regulated or compliance-sensitive environmentExcellent written and
• verbal communication skills in English

✨ Nice-to-Haves

• Experience in healthtech, life sciences, or clinical research data environments
• Familiarity with CDISC or other clinical data standards
• Experience supporting AI/ML teams with well-structured data foundations
• Experience leading/managing pods of data engineering teams

Why Join Us?

• A dynamic work environment with an international team, where collaboration and diversity thrive.
• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Get equipped with a MacBook to enhance your productivity and work experience.
• Benefits package designed to support you and your family's overall well-being.
• Comprehensive medical, dental, and vision insurance options, effective from your start date or shortly thereafter depending on location.
• Hybrid work models offe ring flexibility to balance your professional and personal life.
• Company events to celebrate achievements and enjoy time together.
• Our office is pet-friendly! You'll likely be greeted by a few wagging tails upon arrival.

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By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.